Optimisation has always been one of the main considerations in all industries. With the proliferation of data science and hence Artificial Intelligence (AI) in recent years, Optimisation using AI has become more popular and efficient. This course aims to provide you with the capability to perform optimisation using AI in your work/research or in your area of interest. You will first learn about the overview of optimisation using AI. You will then be equipped with the knowledge and skill to deploy machine learning tools for optimisation through hands on lessons via Python language over the Jupyter Notebook platform.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | |
| Not Available To Programme | ACBS, ACC, ACDA, ADM, AERO, AISC, ARED, ASEC, BACF, BASA, BCE, BCG, BMS, BS, BSB, BSPY, BUS, CE, CEE, CEEC, CHEM, CHIN, CMED, CNEL, CNLM, COMP, CS, CSC, CSEC, CVEC, DSAI, ECDS, ECMA, ECON, ECPP, ECPS, EEE, EEEC, EESS, ELAH, ELH, ELHS, ELPL, ENE, ENEC, ENG, ESPP, HIST, HSCN, HSLM, IEEC, IEM, LMEL, LMPL, LMS, MACS, MAEC, MAEO, MAT, MATH, ME(DES), ME(IMS), ME(NULL), ME(RMS), MEEC(DES), MEEC(IMS), MEEC(NULL), MEEC(RMS), MS, MS-2ndMaj/Spec(MSB), MTEC, PESC, PHIL, PHMS, PHY, PLCN, PLHS, PPGA, PSLM, PSMA, PSY, REP, ROBO, SCED, SOC, SPPE, SSM |
| Not Available To All Programme With | Yr1, Yr2 |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | |
| Not Offered As BDE | |
| Not Offered As Unrestricted Elective | |
| Exam |
Total hours per week: 3 hrs
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 930 | COMMON LEC (LE) 0930-1220 Wed CBE-SR2 | ||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 |